---
language:
- pt
license: cc-by-4.0
task_categories:
- token-classification
task_ids:
- named-entity-recognition
tags:
- named-entity-recognition
- token-classification
- information-extraction
- sei
- brazilian-portuguese
- government
---

# Sistema Eletrônico de Informações - NER Corpus

## Corpus Summary

**SEI NER Corpus** is a Brazilian Portuguese labeled corpus for Named Entity Recognition (NER) built from public documents of the *Sistema Eletrônico de Informações* (SEI), the electronic procedural management system used by Brazilian federal public agencies. The corpus was curated and validated by trained annotators and covers four document types produced by the University of Brasília (UnB): acts, leaves, resolutions, and standard announcements.

This corpus was introduced in the paper *"Could you tell me the process ID? Structuring Text Documents from the Brazilian Electronic Information System Using a Named Entity Recognition Approach"*, presented at SBSI 2025.

## Corpus Structure

The dataset is organized into four splits, one per document type:

| Split | Documents | Description |
|---|---|---|
| `acts` | 84 | Official acts (*Atos Oficiais*) — designations, commissions, and administrative decisions |
| `leaves` | 82 | Leave authorizations and cancellations (*Afastamentos*) |
| `resolutions` | 79 | Council resolutions (*Resoluções*) — approvals and deliberations |
| `std_announcements` | 48 | Standard announcements (*Editais e Retificações*) — calls, rectifications, and results |

Each instance contains the following fields:

| Field | Type | Description |
|---|---|---|
| `tokens` | `list[string]` | Tokenized document text |
| `ner_tags` | `list[string]` | IOB2 NER tags aligned with `tokens` |

## NER Tag Set

Tags follow the IOB2 scheme (`B-` for beginning, `I-` for inside, `O` for outside). The full set of entity types is listed below. Not all tags appear in every split — availability varies by document type.

| Tag | Entity | Description |
|---|---|---|
| `SEI` | SEI Process Number | The number of the SEI process |
| `ORG` | Organization | Organization name or acronym |
| `PER` | Person | Person's full name |
| `LOC` | Location | Location |
| `DAT` | Date | Standalone date |
| `BDT` | Begin Date | Initial date of a leave |
| `EDT` | End Date | Final date of a leave |
| `NUM` | Document Number | Document number |
| `MAT` | Enrollment Number | Civil staff identifier |
| `SUB` | Subject | Subject of the publication |
| `UNI` | University-related | Departments, secretariats, divisions, programs |
| `OBJ` | Object | Object of a contract or TED |
| `POS` | Position | Full role/title of a person |
| `ART` | Regulation/Article | Document type alongside number |
| `DOU` | DOU Information | Brazilian Official Gazette reference |
| `MET` | Meeting Number | Meeting identifier (resolutions only) |
| `ONU` | Cost | Whether there are costs to the university (leaves only) |
| `MOT` | Justification | Leave justification (leaves only) |
| `URL` | Address | Online address of an announcement |
| `TYP` | Type | Rectification or result type |
| `WRG` | Wrong Information | Information being corrected |
| `COR` | Correct Information | Corrected information |

## Source

Documents were collected from the public SEI bulletin of the University of Brasília (*Boletim de Atos Oficiais da UnB*) using a web crawler. Annotation was performed by trained annotators following a detailed annotation guide developed for each document type.

## Languages

Brazilian Portuguese (`pt-BR`).

## Licensing

This dataset is released under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license.

## Citation

If you use this corpus, please cite:

```bibtex
@inproceedings{marinho2025could,
  title={Could you tell me the process ID? Structuring Text Documents from the Brazilian Electronic Information System Using a Named Entity Recognition Approach},
  author={Marinho, Mayara C and Borges, Ana Clara B and Ferreira, Laryssa O and Costa, Vanessa P and Bordim, Jacir Luiz and Borges, Vinicius R P},
  booktitle={XXI Simpósio Brasileiro de Sistemas de Informação (SBSI)},
  pages={778--787},
  year={2025},
  organization={SBC},
  doi = {10.5753/sbsi.2025.246641},
  url = {https://sol.sbc.org.br/index.php/sbsi/article/view/34395}
}

```